BundleEntryProtoOrBuilder

interfaccia pubblica BundleEntryProtoOrBuilder
Sottoclassi indirette conosciute

Metodi pubblici

astratto int
getCrc32C () 
 The CRC32C checksum of the tensor bytes.
tipo di dati astratto
getDtipo () 
 The tensor dtype and shape.
astratto int
getDtipoValore () 
 The tensor dtype and shape.
astratto lungo
getOffset ()
int64 offset = 4;
astratto TensorShapeProto
ottieni forma ()
.tensorflow.TensorShapeProto shape = 2;
astratto TensorShapeProtoOrBuilder
getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
astratto int
getShardId () 
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
astratto lungo
ottienidimensione ()
int64 size = 5;
astratto TensorSliceProto
getSlices (indice int) 
 Iff present, this entry represents a partitioned tensor.
astratto int
getSlicesCount () 
 Iff present, this entry represents a partitioned tensor.
Lista astratta< TensorSliceProto >
getSlicesList () 
 Iff present, this entry represents a partitioned tensor.
astratto TensorSliceProtoOrBuilder
getSlicesOrBuilder (indice int) 
 Iff present, this entry represents a partitioned tensor.
Elenco astratto<? estende TensorSliceProtoOrBuilder >
getSlicesOrBuilderList () 
 Iff present, this entry represents a partitioned tensor.
booleano astratto
haForma ()
.tensorflow.TensorShapeProto shape = 2;

Metodi pubblici

public abstract int getCrc32C () 

 The CRC32C checksum of the tensor bytes.
fixed32 crc32c = 6;

estratto pubblico DataType getDtype () 

 The tensor dtype and shape.
.tensorflow.DataType dtype = 1;

public abstract int getDtypeValue () 

 The tensor dtype and shape.
.tensorflow.DataType dtype = 1;

pubblico astratto lungo getOffset ()

int64 offset = 4;

estratto pubblico TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

estratto pubblico TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public abstract int getShardId () 

 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
int32 shard_id = 3;

public abstract lungo getSize ()

int64 size = 5;

public abstract TensorSliceProto getSlices (indice int) 

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7;

public abstract int getSlicesCount () 

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7;

Elenco astratto pubblico< TensorSliceProto > getSlicesList () 

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7;

public abstract TensorSliceProtoOrBuilder getSlicesOrBuilder (indice int) 

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7;

Elenco abstract pubblico<? estende TensorSliceProtoOrBuilder > getSlicesOrBuilderList () 

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7;

pubblico astratto booleano hasShape ()

.tensorflow.TensorShapeProto shape = 2;